Using the Shapley Decomposition to Disentangle the Impact of Circumstances and Efforts on Health Inequality

Following previous work on inequality in health opportunity, this paper attempts to determine the contribution of circumstances, efforts and lifestyle, and demographic variables to the overall inequality in health in Luxembourg. Health is measured via the answers given to a question on self-assessed health and is considered as an ordinal variable. The educational level of each parent, the financial situation of the family during childhood, the area of birth of the individual, and of his/her parents, and the year of immigration are considered as circumstances. Effort and lifestyle variables are proxied by information on the educational level of the individual, whether he/she smoked and whether he/she had a physical activity on a regular basis. Sex and age are considered as demographic variables. To solve the issue of correlation between circumstances and effort and lifestyle the estimation is implemented in two stages. In the first stage, each effort and lifestyle variable is regressed in a separate equation against the vector of circumstances and demographic variables and, in a second stage, the individual health status is regressed against the vector of circumstances and demographic variables along with the estimated residuals of the effort equations described previously. The respective impacts of the three categories of explanatory variables (circumstances, effort and lifestyle and demographic variables) on health inequality are derived via a Shapley decomposition of the likelihood ratio of the health ordered logit regression. It appears that differences in circumstances and effort and lifestyle explain each around a quarter of this likelihood ratio.     

Towards the Use of Crowdsourced GIS Data to Georeference Child Well-Being Globally

Child well-being is described as a social problem, such that in most cases social indicators defined by experts are used, without much input from local and heterogeneous communities. This article makes the case for an innovative way to monitor and explore child well-being globally, while also critiquing currently used indices. Based on Nussbaum’s Capabilities approach, we propose to formulate indices by using GIS and a comprehensive list of relevant geospatial datasets, using uniquely designed meta-layers and feature catalogues. Moreover, we argue that these geospatial data can be collected and mapped by the local communities, through participatory approaches, thus not relying on authoritative engagement and data. This will contribute to the empowerment of communities, making them relevant stakeholders with valued contribution to the process. This paper outlines preliminary work related to concepts and ideas, whereas future work is planned to develop an elaborate and comprehensive GIS model, and conduct further spatial analysis in the framework of a small scale campaign.     

Stereotype and National Attachment in Hong Kong Chinese Context: A Moderated Mediation Model of Perceived Inter-group Relationship and Age

The present study investigated the relationship between Hong Kong people’s stereotype toward Mainland people and their own national attachment (i.e., national identity, constructive patriotism, and uncritical patriotism). The role of inter-group relationship as mediator and age as moderator of that relationship were also tested. A total of 1753 local Hong Kong people aged 17–80 (mean age = 20.35 years, SD = 5.02) completed anonymous questionnaires regarding their stereotypes toward Mainland people, inter-group relationship with Mainland people, and national attachment. As expected, stereotypes toward Mainland people, inter-group relationship and national attachment showed significant positive associations with each other. More interestingly, it was found that the inter-group relationship mediated the relationship between stereotypes toward Mainland people and three domains of national attachment, with this indirect link being weaker for younger Hong Kong adults than for older Hong Kong adults. Implications of the present findings for future research are discussed, as well as potential interventions for increasing subjective national attachment to China, especially in young Hong Kong people.     

Determinants of Infant Mortality in Older ASEAN Economies

Infant mortality in the Association of Southeast Asian Nations (ASEAN) has been declining, yet disparities remain between the nations. This paper therefore explores the determinants of infant mortality in the older ASEAN-4 economies, Malaysia, Thailand, Indonesia and the Philippines using an Autoregressive Distributed Lag (ARDL) Error Correction Model framework. The key findings of the study are: First, there is evidence of long-run relationships among infant mortality, education, female fertility, income and access to healthcare. Second, the determinants of infant mortality vary between countries. Female fertility emerged as the main determinant of infant mortality in Malaysia, while access to healthcare matter for infant mortality in Indonesia, and to a lesser extent for the Philippines. The income effect is significant for reducing infant mortality in Malaysia, while female education is important for Indonesia and Thailand. Third, the speed of adjustment of infant mortality rate is comparatively low in ASEAN-4.     

Quality of Life and Personality Development: A Reply to Land and Michalos

Land and Michael’s (this issue) offer an excellent overview of the evolving status of the social indicators movement, with thoughtful recommendations for future research. I argue that QOL researchers may want to consider paying increased attention to advances in the science of personality development, such as those articulated in McAdams' (The art and science of personality development. Guilford Press, New York, 2015), in conceptualizing comprehensive assessments of the QOL. Specifically, McAdams' synthesis of the literature on personal agency should provide a useful beginning for developmentally-informed discussions of the potential evolving nature of QOL and its antecedents, correlates, and consequences, with the goal of ensuring greater relevance of QOL evaluations to all age groups.     

The Ex-Ante Evaluation of Achieving Sustainable Development Goals

This paper describes the methodology and main results from an overall assessment on future achievement of sustainable development goals. The proposed approach consists of a model-based, looking forward composite sustainable development index—FEEM sustainability index—projected to the future. It represents a first experiment to reproduce the future dynamics of sustainable development indicators over time and worldwide and to assess future sustainability under different scenarios. The assessment presented here is relevant under different viewpoints. First, it has a very broad nature in terms of both geographical coverage and meaningfulness: it considers the multi-dimensional structure of sustainable development by combining relevant indicators belonging to economic, social and environmental pillars for the whole world. Second, the modelling framework to compute future trends of indicators relies upon a recursive-dynamic computable general equilibrium model. This is an ideal tool to look simultaneously at the development of many indicators, their potential interactions and trade-offs, and more in general to the consequences of economic development and/or policies aiming to increase performance in one or more indicators; it allows measuring the overall sustainability under alternative scenarios, across countries and over time. Finally, regarding the construction of the composite indicator, the application of fuzzy measures and Choquet integral increases substantially the model capability allowing taking into account the interactions that exist among the three main pillars of sustainability and the considered indicators.     

Child Poverty Among Hong Kong Ethnic Minorities

This paper analyzes the data from the Population Census of 2011 to identify the characteristics of poor ethnic minority groups in Hong Kong and the factors that are associated with child poverty among these ethnic minorities. The results show that the child poverty level varies between different ethnic groups and that ethnic minorities from developing nations are likely to have a higher poverty level. In particular, Pakistani children have the highest poverty rate among all ethnic groups. The results also show that Pakistani, Nepalese, and Mixed (Chinese and Asian) nationalities have a higher child poverty rate than that of Chinese individuals who constitute the majority of the Hong Kong population. The main reason for this is that, unlike their Chinese counterparts, some of these ethnic minority households have not benefited from their own human capital or their length of exposure in the local society in Hong Kong. And even if they have benefited, the positive impact of these factors on ethnic minority households was much weaker compared to that of Chinese households. These results suggest that ethnic minorities need to be categorized as a separate group in order to assess their specific needs, and assimilation policies, especially support on Chinese language learning, need to be an integral part of the government’s poverty reduction strategy to reduce child poverty among ethnic minorities.     

Quality of Life in Italian Official Surveys

Quality-of-life studies have a 50-year history and inherited the tradition of the “social indicators” movement, born in the United States during the sixties and involving scholars and researchers, supported by the public administration and interested in gathering and analysing data aimed at studying non-economic components of societal wellbeing. The idea of quantifying “symptoms” (indicators) of living conditions has been launched by Italian statistician and criminologist, Alfredo Niceforo, who has been recognised as the pioneer of social-indicators concept. Moreover, with his book on Les indices numérique de la civilisation et du progrès, he may be considered the originator of an approach of comprehensive welfare and quality of life measurement as it is the concern of modern social indicators and quality of life.     

Community-Based Determinants of Community Engagement: A Meta-Analysis Research

In literature, several variables, both individual and collective level, have been utilized to explain community engagement: the active, voluntary involvement of individuals and groups in changing problematic conditions in communities. The purpose of this study is to identify the main community-based variables and, via meta-analysis research, calculate the effects of these variables on community engagement. These variables include sense of community, community identity, social well-being, place identity, trust in the community, trust in institutions, and community cohesion. The overall and partial effect sizes and heterogeneity between studies were calculated. Some study characteristics (i.e. type of sample, size of sample, percentage of women in the sample, and mean age) were used as moderators for subsample analysis and meta-regressions. The first six major variables (sense of community, community identity, social well-being, place identity, trust in the community, and trust in institutions) show a positive but moderate relationship with community engagement. As for the moderating variables were not found substantial variations. The data are very heterogeneous and highlight the complex and multivariate nature of community engagement. Theoretical and methodological implications were discussed.